# Last Update: April 2002 - Frank Hage NCAR/RAP<EMAIL_ADDRESS>Configurable, Interactive Data Display (CIDD)
Documents, Information and Examples
One of the unfortunate things about CIDD is its lack of good, comprehensive
documentation. CIDD has been under development off and on since
March of 1991 and RAP's projects have always chosen to fund feature
additions rather than documentation. Please look at the following
documents, or go through some of the
sample configuration files and then call me at<PHONE_NUMBER>
if you need additional information or help.
- Frank Hage<EMAIL_ADDRESS>Currently Available Documentation
- CIDD User Manual
- The latest draft of a Generic CIDD User's Manual
- CIDD Introduction
- A text overview of what CIDD's capabilities are.
- A Manual written for
the Taiwan project This manual is specific to the configuration
of a display system as configured for Civil Aviation Operations Center
Users in Taiwan. It has the most up-to-date information about CIDD's
menus and control panels. It also shows some examples of how CIDD works
with ancillary applications which display tabular data nearest the
last click point. Here's
a direct link to the CIDD section of the manual.
- CIDD MAP File Format
- A Brief Guide to CIDD's MAP file format - with example links.
- CIDD README
- Some information which discusses CIDD's components and configuration files.
OBSOLETE Documents
- An old cidd manual
- An out-of-date manual relevant to "Little Cidd". See
CIDD's Readme for information
on CIDD/cidd's differences.
(Not recommended for current CIDD users)


Flippydisk tools are designed to help front end developers build projects with a few of the general necessities that
are extremely helpful in the process. Debugging, graceful error messages, url search tools, ES6 Ajax calls, and
similar items are what this suite focuses on. 1.0.0 will include a debugger, error logger and the ability to
disable an entire script from a URL param. More features will be added in future versions.
Basically, I kept finding myself needing these items over and over again, project after project. So much so that I
finally decided to put them all together in a suite that can be imported via NPM.
Installation
In your project's directory:
npm i @flippydisk/tools --save-dev
That's it! Once you have it installed in your project, see individual component's README files for their own use.
Ex. Debug:
import * as tools from '@flippydisk/tools';
const debug = new tools.Debug({ debug: false, control: 'MyControl' });
Tests
Each component will have its own tests which will also run as a full Flippydisk tools test suite.
Overview
Flippydisk tools are designed to help front end developers build projects with a few of the general necessities that are extremely helpful in the process. Debugging, graceful error messages, url search tools, ES6 Ajax calls, and similar items are what this suite focuses on.
1.0.0
will include a debugger, error logger and the ability to disable an entire script from a URL param. More features will be added in future versions.Basically, I kept finding myself needing these items over and over again, project after project. So much so that I finally decided to put them all together in a suite that can be imported via NPM.
Installation
In your project's directory:
That's it! Once you have it installed in your project, see individual component's README files for their own use.
Ex.
Debug
:Tests
Each component will have its own tests which will also run as a full Flippydisk tools test suite.
Output:
Documentation
Each component will also have its own README file.
npm run docs


Checks if a user has permission to be assigned to an issue in this repository.
GET /repos/:owner/:repo/assignees/:assignee
If the assignee
can be assigned to issues in the repository, a 204
header with no content is returned.
Status: 204 No Content
Otherwise a 404
status code is returned.
Status: 404 Not Found


Setting up a firewall on Linux Ubuntu 14.04
Category: sysadmin
This post walks throug the steps needed to set up a firewall on Ubuntu 14.04. Note that 14.04 is now end of life.
Uses
Firewalls allow only particular access to particular network ports and paths. You can remove access to a port or a specific IP address or a range of IP addresses.
Admins can apply rules according to what access they would like - these rules include both outgoing and incoming network traffic. This allows admins to build barriers of trust across machines.
Modern firewalls are based on Application Layer Firewalls and are aware of the kinds of applications and protocols that the connection is using. They can block anything which is not part of the normal flow of traffic.
Set up
The firewalld package needs to be installed:
$ sudo aptitude install firewalld
You should not run the program iptables alongside firewalld as this is the older version and will create a conflict.
firewalld is a service which needs to be running to use and configure the firewall, and is started in the usual way.
$ sudo /etc/init.d/firewalld start
You can test if the service is running with:
$ sudo firewall-cmd --state
If you have more than one network interface on IPV4, you will need to turn on ip forwarding. This is achieved with:
$ sudo sysctl net.ipv4.ip_forward=1
However, this is not persistent across boots. To achieve this, you will need to add the following line to /etc/sysctl.conf:
net.ipv4.ip_forward=1
and then reboot or type:
$ sudo sysctl -p
to read in the new setting.
Zones
Firewalls work with zones each which has a level of trust defined. The zones are
- drop - only particular incoming connections are allowed
- block - all incoming connections are rejected
- public - do not trust any computers on the network; only defined incoming connections are permitted
- external - used when masquerading is being used, usually in routers.
- dmz - used when access is allowed only to some services to the public.
- work - trust connected nodes to be not harmful
- home - mostly trust other network nodes, but still select which incoming connections are allowed
- internal - similar to work zone
- trusted - everything is allowed.
On installation, nearly all Linux distributions will select the public zone as the default for all interfaces.
Get the default zone:
$ sudo firewall-cmd --get-default-zone
Obtain a list of zones being used:
$ sudo firewall-cmd --get-active-zones
List all available zones:
$ sudo firewall-cmd --get-zones
To change the default zone to trusted and then change it back.
$ sudo firewall-cmd --set-default-zone=trusted
$ sudo firewall-cmd --set-default-zone=public
To assign an interface temporarily to a particular zone:
$ sudo firewall-cmd --zone=internal --change-interface=eth0
This will only change the interface until the next boot. To make it permanent, we add the –permanent flag.
$ sudo firewall-cmd --permanent --zone=internal --change-interface=eth0
which will create a file in /etc/firewalld/zones/internal.xml.
To ascertain the zone associated with a particular interface:
$ sudo firewall-cmd --get-zone-of-interface=eth0
To get the details of a particular zone:
$ sudo firewall-cmd --zone=public --list-all
An admin can also bind a zone to a network address (as well as an interface).
To bind a source to a zone:
$ sudo firewall-cmd --permanent --zone=trusted --add-source=<IP_ADDRESS>/24
With this command, anyone from address 192.168.1.x will be added to the trusted zone.
Services and ports within a zone
Setting zones is now possible, but for these to become effective, we need to set particular services within each zone.
We can see what services are associated with a particular zone:
$ sudo firewall-cmd --list-services --zone=public
To add a service to a zone:
$ sudo firewall-cmd --permanent --zone=work --add-service=http
$ sudo firewall-cmd --reload
–reload is required to make the change effective and –permanent is required to add a service to a zone.
Port management is very similar:
$ sudo firewall-cmd --zone=work --add-port=21/tcp
$ sudo firewall-cmd --reload
You can also remove these with the commands –remove-service and –remove-port.


Surat,Gujrat
Surat,Gujrat
Ahmedabad, Gujarat
Gandhinagar, Gujarat
| Library Rules & Regulations |
| Identity Card is compulsory for getting access to the library. |
| Silence to be maintained. |
| No discussion permitted inside the library. |
| Registration should be done to become a library member prior to using the library resources. |
| No personal belongings allowed inside the library. |
| Textbooks, printed materials and issued books are not allowed to be taken inside the library. |
| Students are allowed to library only on production of their authorized/valid Identity Cards. |
| Enter your name and Sign in the register kept at the entrance counter before entering library. |
| Using Mobile phones and audio instruments with or without speaker or headphone is strictly prohibited in the library premises. |
| Show the books and other materials which are being taken out of the library to the staff at the entrance counter. |
|
Contact Details of GPGS Contact Numbers : 2463017 Email ID<EMAIL_ADDRESS>Website : http://www.ggpsurat.org Address : Athwa Gate Nanapura, PIN- 395001 |
CREATED AND HOSTED BY: TechPi's Creation ("techpi_29@gmail.com")


Hello there! 👋 My name is Dias.
I am specializing in building exceptional, high-quality websites and applications. Valuable team member. Also, I love new technologies and services, as well as start-ups and technical products. Attentive to details and active person. Motivated to learn and hard working.
Worked on projects:
A few main projects I worked on:


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--- permalink: /teams/index.html title: "Teams - Godot Engine" description: "Teams and engine areas overview." layout: more header_text: "Godot Engine teams" current_tab: "teams" ---
This pages provides an overview of the various teams working on Godot Engine. If you want to know who works on what, who to get in contact with on a topic, which people should review a particular Pull Request or similar - this is a good first stop.
Engine teams are listed by engine area, with a few keywords describing what belongs to that area and a link to the
teams chat channel,
followed by a list of the members of that team (names and GitHub handles). For some larger areas, subteams exist for
parts of that area.
Names in bold with a ⭐ emoji are the main contributors in charge of a given area, who typically lead the team work
and can merge Pull Requests in their area of expertise.
If you want to get in touch, use the link to each team's chat channel on the Godot Engine Contributors chat
after the team's names (see Community).
For general development discussions which may not fit a specific team channel, use the general purpose #devel channel.
For general enquiries, private or security related matters, have a look at the Contact page.
Categorizing the engine development in discrete teams is not easy! This section includes some broad areas which have
an influence on all engine subsystems,
and where many contributors are active without necessarily being responsible for all the features that their team
encompasses.
Some more specialized teams are then listed in the Systems section.
Low-level Core API: Object, Variant, templates, base nodes like Node, Viewport, etc.
(everything under core
and
scene/main
).
Juan Linietsky (@reduz), George Marques (@vnen), HP van Braam (@hpvb), Pedro J. Estébanez (@RandomShaper)
| Data Structures | Juan Linietsky (@reduz), @lawnjelly |
|---|---|
| Threading | Pedro J. Estébanez (@RandomShaper) |
| Input | Eric M (@EricEzaM), Gilles Roudière (@groud), Pedro J. Estébanez (RandomShaper), Rémi Verschelde (@akien-mga) |
Everything that inherits Control (everything under scene/gui
)
and can be used to build Graphical User Interfaces (both game UI and editor tools).
Gilles Roudière (@groud), Hendrik Brucker (@Geometror), Michael Alexsander (@YeldhamDev), Pāvels Nadtočajevs (@bruvzg), Tomasz Chabora (@KoBeWi), Yuri Sizov (@YuriSizov)
| Text | Paul Batty (@Paulb23), Pāvels Nadtočajevs (@bruvzg) |
|---|
All things related to the editor, both tools and usability (editor
).
Gilles Roudière (@groud), Hendrik Brucker (@Geometror), Hugo Locurcio (@Calinou), Michael Alexsander (@YeldhamDev), Paul Batty (@Paulb23), Tomasz Chabora (@KoBeWi), Yuri Sizov (@YuriSizov)
| 2D | Gilles Roudière (@groud), Michael Alexsander (@YeldhamDev), Tomasz Chabora (@KoBeWi) |
|---|---|
| 3D | Hugo Locurcio (@Calinou), Joan Fons Sanchez (@JFonS) |
| Debugger | Fabio Alessandrelli (@Faless), George Marques (@vnen) |
| Script editor | Paul Batty (@Paulb23), Michael Alexsander (@YeldhamDev) |
Umbrella team for all the scripting languages usable with Godot. Encompasses some shared core components (Object, ClassDB, MethodBind, ScriptLanguage, etc.) and language specific implementations in dedicated subteams.
George Marques (@vnen), Ignacio Roldán Etcheverry (@neikeq), Juan Linietsky (@reduz)
| GDExtension (#gdextension) | David Snopek (@dsnopek), Bastiaan Olij (@BastiaanOlij), Fabio Alessandrelli (@Faless), George Marques (@vnen), Gilles Roudière (@groud), Juan Linietsky (@reduz), Pāvels Nadtočajevs (@bruvzg) |
|---|---|
| GDScript (#gdscript) | George Marques (@vnen), Adam Scott (@adamscott), Danil Alexeev (@dalexeev), Dmitry Maganov (@vonagam), ocean (they/them) (@anvilfolk) |
| C# | Ignacio Roldán Etcheverry (@neikeq), Aaron Franke (@aaronfranke), Raul Santos (@raulsntos) |
Tools and scripts that we use to compile and maintain Godot, both for development purpose (SCons, CI) and releases (official build containers).
Rémi Verschelde (@akien-mga), Aaron Franke (@aaronfranke), Fabio Alessandrelli (@Faless), HP van Braam (@hpvb), Hugo Locurcio (@Calinou), Ignacio Roldán Etcheverry (@neikeq)
Platform specific layers that reside in platform
, with shared
components
(Unix, Win32, Apple, etc.) in drivers
.
Pāvels Nadtočajevs (@bruvzg), Rémi Verschelde (@akien-mga)
| Android (#android) | Fredia Huya-Kouadio (@m4gr3d) |
|---|---|
| HTML5 | Fabio Alessandrelli (@Faless) |
| iOS | Pāvels Nadtočajevs (@bruvzg) |
| Linux / BSD | Fabio Alessandrelli (@Faless), HP van Braam (@hpvb), Pāvels Nadtočajevs (@bruvzg), Rémi Verschelde (@akien-mga) |
| macOS | Pāvels Nadtočajevs (@bruvzg) |
| UWP | George Marques (@vnen) |
| Windows | Pāvels Nadtočajevs (@bruvzg), Max Hilbrunner (@mhilbrunner) |
Specialized subsystems with their dedicated teams and communication channels.
Nodes and features for 2D and 3D animation and IK workflows.
Juan Linietsky (@reduz), K. S. Ernest Lee (@fire), @lyuma, Silc 'Tokage' Renew (@TokageItLab), SaracenOne
All audio-related features, from low-level AudioServer and drivers to high-level nodes and effects.
Asset import pipeline for 2D (textures) and 3D (scenes, models, animations, etc.).
Juan Linietsky (@reduz), Hugo Locurcio (@Calinou), Joan Fons Sanchez (@JFonS), K. S. Ernest Lee (@fire), @lyuma, Rémi Verschelde (@akien-mga)
Networked multiplayer, RPCs and replication, HTTP/TCP/UDP/DNS, WebSockets, ENet, encryption.
Fabio Alessandrelli (@Faless), Max Hilbrunner (@mhilbrunner)
Physics servers and their implementation in 2D and 3D.
Fabrice Cipolla (@fabriceci), Juan Linietsky (@reduz), @lawnjelly, Ricardo Buring (@rburing)
Rendering server and RenderingDevice implementations (Vulkan, OpenGL), as well as the actual rendering techniques implemented using those graphics APIs.
Clay John (@clayjohn), Bastiaan Olij (@BastiaanOlij), Hugo Locurcio (@Calinou), @lawnjelly, Pedro J. Estébanez (RandomShaper), Joan Fons Sanchez (@JFonS), Juan Linietsky (@reduz)
| Shaders | Yuri Rubinsky (@Chaosus), Clay John (@clayjohn) |
|---|---|
| Tech Art | Clay John (@clayjohn), Hugo Locurcio (@Calinou), Ilaria Cislaghi (@QbieShay), Patrick Exner (@paddy-exe), Yuri Rubinsky (@Chaosus) |
Augmented (AR) and virtual reality (VR).
Bastiaan Olij (@BastiaanOlij), Fredia Huya-Kouadio (@m4gr3d)
| WebXR | David Snopek (@dsnopek) |
|---|---|
| XR Tools | Malcolm Nixon (@malcolmnixon) |
The following teams do not impact the engine code directly, but take care of all other important parts of the Godot ecosystem such as the documentation, demos, website, etc.
The communication team ensures that our platforms, from the website to our social media, are kept up to date with current information about the engine and showcase other projects from the community.
Emilio Coppola (@coppolaemilio), Clay John (@clayjohn), Hugo Locurcio (@Calinou), Ilaria Cislaghi (@QbieShay), Rémi Verschelde (@akien-mga), Yuri Sizov (@YuriSizov)
Maintenance and creation of official demo projects in godot-demo-projects.
Aaron Franke (@aaronfranke), Hugo Locurcio (@Calinou)
Maintainance and writing of the official documentation at godot-docs.
Max Hilbrunner (@mhilbrunner), Clay John (@clayjohn), Hugo Locurcio (@Calinou), Matthew (@skyace65), Rémi Verschelde (@akien-mga), Yuri Sizov (@YuriSizov)
The production team helps coordinate the engine development with the various teams.
Rémi Verschelde (@akien-mga), Adam Scott (@adamscott), Clay John (@clayjohn), Emilio Coppola (@coppolaemilio), Fredia Huya-Kouadio (@m4gr3d), Hugo Locurcio (@Calinou), Max Hilbrunner (@mhilbrunner), Yuri Sizov (@YuriSizov)
Internationalization and localization team - building the infrastructure to make it possible to translate Godot and its documentation.
Rémi Verschelde (@akien-mga), Haoyu Qiu (@timothyqiu), Hugo Locurcio (@Calinou)
If you work on Godot translations and contributors for your language have a dedicated communication channel for coordination, let us know so we can link it here.
Maintenance of the official Godot website and other hosted resources (Q&A, asset library).
Yuri Sizov (@YuriSizov), Emilio Coppola (@coppolaemilio), Hugo Locurcio (@Calinou), Rémi Verschelde (@akien-mga)


Emulation
An emulator is a program that replicates the behavior of a video game console, allowing games to run on a different platform from the original hardware. Emulators exist for PCs, smartphones and consoles other than the original. Emulators are generally used to play old games, hack existing games, translate unreleased games in a specific region, or add enhanced features to games like improved graphics, speed up or down, bypass regional lockouts, or online multiplayer support.
Some manufacturers have released official emulators for their own consoles. For example, Nintendo's Virtual Console allows users to play games for old Nintendo consoles on the Wii, Wii U, and 3DS. Virtual Console is part of Nintendo's strategy for deterring video game piracy. In November 2015, Microsoft launched backwards compatibility of Xbox 360 games on Xbox One console via emulation. Also, Sony announced relaunching PS2 games on PS4 via emulation. According to Sony Computer Entertainment America v. Bleem, creating an emulator for a proprietary video game console is legal. However, Nintendo claims that emulators promote the distribution of illegally copied games.
Some manufacturers have released official emulators for their own consoles. For example, Nintendo's Virtual Console allows users to play games for old Nintendo consoles on the Wii, Wii U, and 3DS. Virtual Console is part of Nintendo's strategy for deterring video game piracy.In November 2015, Microsoft launched backwards compatibility of Xbox 360 games on Xbox One console via emulation.Also, Sony announced relaunching PS2 games on PS4 via emulation.According to Sony Computer Entertainment America v. Bleem, creating an emulator for a proprietary video game console is legal. However, Nintendo claims that emulators promote the distribution of illegally copied games.
Project64, a Nintendo 64 emulator, running Star Fox 64 on a Windows 8 platform


Your browser does not support iframes.
alpha, beta gamma and a mechanical gyroscope. (wikipedia and developes.google.com)


--- layout: post title: "My Week in Review" date: 2016-04-03 08:30:00 +0000 tags: image: https://s3.amazonaws.com/hackedu/2016-04-03-pelican.jpg imagecredits: https://www.flickr.com/photos/cogdog/23795157896 ---
Image credits: The Noun Project


Chapter 5 Some Discrete Distributions
5.1 Bernoulli Distribution
It can also be called “single coin toss distribution”. For a single event with probability of success \(p\) and failure \(q = 1 - p\), the distribution is called Bernoulli.
pmf: \(f(x = 0;p) = q\), \(f(x = 1) = p\)
\(E[X] = 0*(1-p) + 1*p = p\)
\(V[X] = pq\)
Example: Coin Toss
\(p = 0.5\), \(q = 1 - p = 0.5\)
pmf: \(f(x = 0) = 0.5\), \(f(x = 1) = 0.5\)
\(E[X] = 0*(1-0.5) + 1*0.5 = 0.5\)
\(V(X) = 0.5*0.5 = 0.25\)
5.2 Binomial Distribution
Think of multiple Bernoulli trials (e.g. several coin tosses).
pmf: \(f(x;p,n) = \binom{n}{x} p^xq^{(n-x)}\)
\(E[X] = np\)
\(V(X) = npq\)
cdf: \(F(X \le x) = \sum_{i=0}^n f(i)\)
Example: Multiple Coin Tosses (x5 coins, p = 0.5)
- pmf: \(f(x=3;n=5) = \binom{5}{3} (0.5)^3(1-0.5)^{(5-3)} = 0.3125\)
## [1] 0.3125
\(E[X] = 5*0.5 = 2.5\)
\(V(X) = 5*0.5*0.5 = 1.25\)
cdf: \(F(X \le 3;n=5) = \sum_{i=0}^5 f(i) = 0.8125\)
## [1] 0.8125
5.3 Multinomial Distribution
Now suppose there is not one probability (\(p\)) but there are many probabilities (\(p_1, p_2, \dots, p_k\)).
pmf: \(f(x_1, \dots , x_k;p_1, \dots, p_k;n) = \binom{n}{x_1, \dots , x_k} p_1^{x_1}*\dots *p_k^{x_k}\)
where \(\binom{n}{x_1, \dots , x_k} = \dfrac{n!}{x_1! \dots x_k!}\), \(\sum_i^k x_i = n\) and \(\sum_i^k p_i = 1\).
 What is the probability that out of the first 10 customers, 3 will prefer Turkish coffee, 5 will prefer espresso and 2 will prefer filter coffee?
\(f(3,5,2;0.4,0.25,0.35;10) = \binom{10}{3,5,2} * 0.4^3 * 0.25^5 * 0.35^10 = 4.3 * 10^{-6} = 0.0193\)
## [1] 0.01929375
## [1] 0.01929375
Binomial distribution is a special case of multinomial distribution.
5.4 Hypergeometric Distribution
Hypergeometric distribution can be used in case the sample is divided in two such as defective/nondefective, white/black, Ankara/Istanbul. Suppose there are a total of \(N\) items, \(k\) of them are from group 1 and \(N-k\) of them are from group 2. We want to know the probability of getting \(x\) items from group 1 and \(n-k\) items from group 2.
pmf: \(f(x,n;k,N) = \dfrac{\binom{k}{x}\binom{N-k}{n-x}}{\binom{N}{n}}\)
\(E[X] = \dfrac{nk}{N}\)
\(V[X] = \dfrac{N-n}{N-1}*n*\dfrac{k}{N}*(1-\dfrac{k}{N})\)
Example: Suppose we have a group of 20 people, 12 from Istanbul and 8 from Ankara. If we randomly select 5 people from it what is the probability that 1 of them is from Ankara and 4 of them from Istanbul.
\(f(1,5;8,20) = \dfrac{\binom{8}{1}\binom{20-8}{5-1}}{\binom{20}{5}} = 0.256\)
## [1] 0.255418
## [1] 0.255418
5.5 Negative Binomial Distribution
Negative Binomial distribution answers the question “What is the probability that k-th success occurs in n trials?”. Differently from the binomial case, we fix the last attempt as success.
- pmf: \(f(x;p,n) = \binom{n-1}{x-1} p^xq^{(n-x)}\)
Example: Suppose I’m repeatedly tossing coins. What is the probability that 3rd Heads come in the 5th toss?
\(f(3;0.5,5) = \binom{5-1}{3-1} 0.5^30.5^{(5-3)} = 0.1875\)
## [1] 0.1875
## [1] 0.1875
## [1] 0.1875
5.6 Geometric Distribution
Geometric distribution answers “What is the probability that first success comes in the n-th trial?”
pmf: \(f(x;p,n) = q^{(n-1)}p\)
\(E[X] = 1/p\)
\(V[X] = \dfrac{1-p}{p^2}\)
5.7 Poisson Distribution
Poisson distribution is widely used to represent occurences in an interval, mostly time but sometimes area. Examples include arrivals to queues in a day, number of breakdowns in a machine in a year, typos in a letter, oil reserve in a region.
5.7.1 Binomial Approximation to Poisson Distribution
We know from binomial distribution that \(k\) occurences in \(n\) trials with probability \(p\) has the following function.
\[P\{X = k\} = \binom{n}{k} p^k (1-p)^{n-k} = \dfrac{n!}{(n-k)!k!} p^k (1-p)^{n-k}\]
and expected value is \(E[X] = np\). Now define \(\lambda = np\).
\[\begin{align*} P\{X = k\} =& \dfrac{n!}{(n-k)!k!} \left(\dfrac{\lambda}{n}\right)^k \left(1-\left(\dfrac{\lambda}{n}\right)\right)^{n-k} \\ =& \dfrac{n (n-1) \dots (n-k+1)}{n^k} \left(\dfrac{\lambda^k}{k!}\right) \dfrac{(1-\dfrac{\lambda}{n})^n}{(1-\dfrac{\lambda}{n})^k} \end{align*}\]For very large \(n\) and very small \(p\) the resulting pdf becomes \(\dfrac{\lambda^k e^{-\lambda}}{k!}\).
5.7.2 Properties of Poisson Distribution
PMF: \(P\{X = k\} = \dfrac{\lambda^k e^{-\lambda}}{k!}\)
CDF: \(P\{X \le k\} = \sum_{i=0}^k \dfrac{\lambda^i e^{-\lambda}}{i!}\)
\(E[X] = \lambda (due to \sum_{i=0}^\infty\dfrac{x^i}{i!} = e^x)\)
\(V(X) = \lambda\)
Rate parameter \(\lambda\) can also be defined as \(\lambda t\), \(t\) being the scale parameter. For instance, let arrivals in 30 minutes interval be \(\lambda t_{30} = 4\). If we would want to work on hourly intervals, we should simply rescale, \(\lambda t_{60} = 8\).
5.8 Chapter Questions
A boutique shop offers three types of breads; olive, rye and white. 15% of its customers buy olive bread, 55% rye bread and the rest white bread. What is the probability that the first 10 customers of the shop buys 2 olive, 5 rye and 3 white bread?
Solution: Multinomial distribution.
\[\binom{10}{2,5,3} 0.15^2 * 0.55^5 * 0.3^3 = 0.0770478\]
n_total = 10 # Olive bread p_1 = 0.15 n_1 = 2 # Rye bread p_2 = 0.55 n_2 = 5 # White bread p_3 = 1 - p_2 - p_1 n_3 = 3 factorial(n_total)/(factorial(n_1)*factorial(n_2)*factorial(n_3)) * p_1^n_1 * p_2^n_2 * p_3^n_3
## [1] 0.0770478
An urn contains 32 balls; 18 red, 14 white. If I take 8 balls randomly from the urn, what is the probability of getting 4 red balls?
Solution: Hypergeometric distribution.
\[\dfrac{\binom{18}{4}\binom{14}{4}}{\binom{32}{8}} = 0.2912125\]
n_total = 32 #N k_total = 8 n_1 = 18 n_2 = 14 k_1 = 4 k_2 = 4 (choose(n_1,k_1)*choose(n_2,k_2))/choose(n_total,k_total)
## [1] 0.2912125
A UNICEF activist asks bypassers to contribute to their efforts. Each of her attempts has a 10% chance of success. What is the probability that she got the first contribution at the 10th attempt?
Solution: Geometric distribution.
\[ (0.9)^9 * (0.1) = 0.03874205\]
## [1] 0.03874205
Suppose there are 10 cards in a deck numbered from 1 to 10. If I draw four cards out of the deck without putting them back, what is the probability that they are in increasing order (e.g. 3-4-5-8)?
Solution: Increasing order is a special order. There is only one decreasing order in every permutation set. For instance
\[8-5-4-3\] \[8-5-3-4\] \[8-4-5-3\] \[4-5-3-8\] \[\dots\] \[**3-4-5-8**\]
So, the answer is \(1/(4!) = 1/24\).
A tennis player has the probability of 0.15 to ace a serve (i.e. he serves and gets the point without the opponent touching the ball) at each shot. His trainer challenged him that he will pay the square of the aces he makes out of 10 serves (e.g. if he serves 8 aces out of 10, the trainer pays him \(8^2 = 64TL\)). But, if he serves less than or equal to 6 aces, the player should pay the trainer 5 TL for each ace he missed (e.g. 4 aces 6 misses, player pays up 6*5 = 30TL).
- What is the maximum amount of money he can get?
- What is the expected earnings of the player?
- What is the variance of his earnings?
Solution:
- 10 out of 10 means 10^2 = 100.
\(g(X = x) = x^2\) if \(x \geq 7\), \(-x\) else, \(f(g(X) = x^2) = f(X = x) = \binom{10}{x} 0.15^x * 0.85^(10-k)\), so \(E[g(x)] = \sum_{i=0}^10 g(x)f(x)\).
So \(49 * \binom{10}{7} 0.15^7 * 0.85^3 + 64 * \binom{10}{8} 0.15^8 * 0.85^2 + 81 * \binom{10}{9} 0.15^9 * 0.85 + 100 * (0.15)^10\) \(-20 * \binom{10}{6} 0.15^6 * 0.85^4 -25 * \binom{10}{5} 0.15^5 * 0.85^5 - 30 * \binom{10}{4} 0.15^4 * 0.85^6 - 35 * \binom{10}{3} 0.15^3 * 0.85^7 - 40 * \binom{10}{2} 0.15^2 * 0.85^8 - 45 * \binom{10}{1} 0.15^1 * 0.85^9 - 50 * 0.85^10 = -42.5TL\).
rewards <- (7:10)^2 probs_rewards <- dbinom(7:10,10,0.15) losses <- -5*(10-(6:0)) probs_losses <- dbinom(6:0,10,0.15) expectation <- sum(rewards*probs_rewards) + sum(losses*probs_losses) expectation
## [1] -42.4913
- \(V(X) = E[X^2] - (E[X])^2\). We know that \(E[X] = -42.5\), then \((E[X])^2 = 1805.51\). Also \(E[X^2] = 1838.434\) and \(V(X) = 32.92\).
## [1] 32.92423
Suppose a machine has a probability of failure 0.001 per hour. What is the probability that the machine had failed at least three times within 2000 hours.
Binomial solution
## [1] 0.3233236
Poisson solution
## [1] 0.3233236
People arrive at a bank with rate \(\lambda = 5\) every 10 minutes. What is the probability that 10 people arrive in 30 minutes?
\[\lambda t_{10} = 5\]
\[\lambda^\prime = \lambda t_{30} = 15 \]
\[P\{X = 10, t=30\} = \dfrac{e^{-15}15^{10}}{10!} = 0.049\]
## [1] 0.04861075
A machine breaks down with a poisson rate of \(\lambda = 10\) per year. A new method is tried to reduce the failure rate to \(\lambda = 3\), but there is a 50% chance that it won’t work. If the method is tried and the machine fails only 3 times that year, what is the probability that the method worked on the machine?
#R codes #Probability that it works pw = 0.5 #Probability of 3 fails if lambda is 10 ppois10 = dpois(3,10) #Probability of 3 fails if lambda is 3 ppois3 = dpois(3,3) #P(Works | X = 3) (pw*ppois3)/(pw*ppois3 + (1-pw)*ppois10)
## [1] 0.96733


1 2 3 4 5 6 7 8 9 10 11 12
13 package xdc.runtime;
14
15 /*!
16 * ======== Gate ========
17 * Critical section support
18 *
19 * Gates are used by clients to protect concurrent access to critical
20 * data structures. Critical data structures are those that must be
21 * updated by at most one thread at a time. All code that needs access
22 * to a critical data structure "enters" a gate (that's associated with the
23 * data structure) prior to accessing the data, modifies the data structure,
24 * then "leaves" the gate.
25 *
26 * A gate is responsible for ensuring that at most one thread at a time
27 * can enter and execute "inside" the gate. There are several
28 * implementations of gates, with different system executation times and
29 * latency tradoffs. In addition, some gates must not be entered by certain
30 * thread types; e.g., a gate that is implemented via a "blocking" semaphore
31 * must not be called by an interrupt service routine (ISR).
32 *
33 * A module can be declared "gated" by adding the `@Gated` attribute to the
34 * module's XDC spec file. A "gated" module is assigned a module-level gate
35 * at the configuration time, and that gate is then used to protect critical
36 * sections in the module's target code. A module-level gate is an instance of
37 * a module implementing `{@link IGateProvider}` interface. However, gated
38 * modules do not access their module-level gates directly. They use this
39 * module to access transparently their module-level gate.
40 *
41 * Application code that is not a part of any module also has a
42 * module-level gate, configured through the module `{@link Main}`.
43 *
44 * Each gated module can optionally create gates on an adhoc basis at
45 * runtime using the same gate module that was used to create the module
46 * level gate.
47 *
48 * Gates that work by disabling all preemption while inside a gate can be
49 * used to protect data structures accessed by ISRs and other
50 * threads. But, if the time required to update the data structure is not
51 * a small constant, this type of gate may violate a system's real-time
52 * requirements.
53 *
54 * Gates have two orthogonal attributes: "blocking" and "preemptible".
55 * In general, gates that are "blocking" can not be use by code that is
56 * called by ISRs and gates that are not "preemptible" should only be used to
57 * to protect data manipulated by code that has small constant execution
58 * time.
59 *
60 */
61 @CustomHeader
62 @DirectCall
63 module Gate {
64
65 /*!
66 * ======== Ref ========
67 * Opaque reference to an allocated gate instance
68 */
69 @Encoded typedef xdc.runtime.IGateProvider.Handle Ref;
70
71 /*!
72 * ======== allocInstance ========
73 * Allocate a gate instance from the current module's gate
74 *
75 * This method is used by modules to create gates at runtime using
76 * the same `IGateProvider` that was used to create the module
77 * level gate. The parameters passed to the `IGateProvider` are
78 * specified at configuration time via the
79 * `{@link Types#Common$ Types.Common$.gateParams}`
80 * configuration parameter.
81 *
82 * @param(eb) `Error` block pointer
83 *
84 * If `NULL`, any error in creating the instance will terminate
85 * the application.
86 *
87 * @a(returns)
88 * Non-`NULL` instance handle is returned if no error occurs; otherwise
89 * an error is raised in `eb` and `NULL` is returned.
90 *
91 * @see IGateProvider
92 * @see Error
93 */
94 @Macro Ref allocInstance(Error.Block *eb);
95
96 /*!
97 * ======== freeInstance ========
98 * Free a gate instance to the current module's gatekeeper
99 *
100 * @param(gate) non-`NULL` return value from a prior call to
101 * `{@link #allocInstance}`.
102 *
103 * @see #allocInstance
104 */
105 @Macro Void freeInstance(Ref gate);
106
107 /*!
108 * ======== enterInstance ========
109 * Enter a critical section protected by this gate instance
110 *
111 * @param(gate) non-`NULL` return value from a prior call to
112 * `{@link #allocInstance}`.
113 *
114 * @a(returns)
115 * Returns a "key" value that must be used to leave `gate`
116 * via `{@link #leaveInstance()}`.
117 *
118 */
119 @Macro IArg enterInstance(Ref gate);
120
121 /*!
122 * ======== enterModule ========
123 * Enter a critical section protected by the current module's gate
124 *
125 * @a(returns)
126 * Returns a "key" value that must be used to leave the current module
127 * gate via `{@link #leaveModule()}`.
128 *
129 * @see #leaveModule
130 */
131 @Macro IArg enterModule();
132
133 /*!
134 * ======== enterSystem ========
135 * Enter a critical section protected by the global System gate
136 *
137 * @a(returns)
138 * Returns a "key" value that must be used to leave the `{@link System}`
139 * gate via `{@link #leaveSystem()}`.
140 *
141 * @see #leaveSystem
142 */
143 IArg enterSystem();
144
145 /*!
146 * ======== leaveInstance ========
147 * Leave a critical section protected by a gate
148 *
149 * @param(gate) non-`NULL` return value from a prior call to
150 * `{@link #allocInstance}`.
151 * @param(key) the return value of a prior call to
152 * `{@link #enterInstance}`
153 *
154 * @see #enterInstance
155 * @see #allocInstance
156 */
157 @Macro Void leaveInstance(Ref gate, IArg key);
158
159 /*!
160 * ======== leaveModule ========
161 * Leave a critical section protected by the current module's gate
162 *
163 * @param(key) the return value of a prior call to `{@link #enterModule}`
164 *
165 * @see #enterModule
166 */
167 @Macro Void leaveModule(IArg key);
168
169 /*!
170 * ======== leaveSystem ========
171 * Leave a critical section protected by the global System gate
172 *
173 * @param(key) the return value of a prior call to `{@link #enterSystem}`
174 *
175 * @see #enterSystem
176 */
177 Void leaveSystem(IArg key);
178
179 /*!
180 * ======== canBlock ========
181 * Check if the module level gate can block threads
182 *
183 * This type of gate should never be called by clients that must never
184 * call a "blocking" RTOS operation; e.g., interrupt service
185 * routines
186 *
187 * @a(returns) Returns `TRUE` if the underlying gatekeeper's gate can
188 * block
189 */
190 @Macro Bool canBlock();
191
192 /*!
193 * ======== canBePreempted ========
194 * Check if the module level gate allows thread preemption
195 *
196 * This type of gate should always be used by clients that protect
197 * a data structure whose updates require more than a small
198 * constant amount of time; e.g., update of a memory allocator's free
199 * list.
200 *
201 * @a(returns) Returns `TRUE` if the underlying gate does not disable
202 * thread preemption.
203 */
204 @Macro Bool canBePreempted();
205
206 /*!
207 * ======== staticAlloc ========
208 * Assign a statically-allocated gate instance to a state-object field
209 *
210 * This method is used to create a gate for static instance objects
211 * that require a gate.
212 *
213 * @param(stateObj) the state object for the instance being created
214 * @param(fldName) a name of a field within the state object
215 *
216 * This parameter names a field that will point to the created gate
217 * instance to be created. It is a caller's responsibility
218 * to ensure that the type of `fldName` is a handle to an
219 * `IGateProvider` instance.
220 */
221 metaonly Void staticAlloc(Any stateObj, String fldName);
222 }
223 224 225
226


while True:
time.sleep(0.1)
except KeyboardInterrupt:
print()
location = "World"
years = [str(x) for x in sorted(df.Year.unique())]
locations = sorted(df.Location.unique())
source_pyramid = ColumnDataSource(data=dict())
def pyramid():


OpenAFP
Contents
Index
OpenAFP.Records
Portability
non-portable (GHC-only)
Stability
experimental
Maintainer
<EMAIL_ADDRESS>Description
This module imports and re-exports various AFP data structures, and implements an additional
Unknown
type for data without corresponding structures.
Synopsis
module
OpenAFP.Records.AFP
module
OpenAFP.Records.PTX
module
OpenAFP.Records.MCF
module
OpenAFP.Records.T
newtype
AFP_
=
AFP_
(
N3
,
Buffer2
)
newtype
Unknown
=
Unknown
NStr
lookupAFP
::
AFP_
->
N3
->
ChunkType
lookupMCF
::
MCF_
->
N0
->
ChunkType
lookupPTX
::
PTX_
->
N1
->
ChunkType
lookupT
::
T_
->
N1
->
ChunkType
Produced by
Haddock
version ADDOCK_VERSION


This is a test application developed for CDAC Project.
As having an Embedded Engineering background we had very little knowledge about App building or server maintainance or database management. This was just a attempt to make something different. For building this app we used Appiko's codebase
All the technology developed by Appiko is free and open source.


 Don't beleive? Let's have a quick demonstartion.
For some moments Stop thinking about any algorithms and look at this diagram.
 Don't beleive? Let's have a quick demonstartion.
For some moments Stop thinking about any algorithms and look at this diagram.
Suppose you’re travelling from your office to your home and you want to reach as soon as possible, then which path will you choose? Think for a while.
Ok, now let's look at the diagram below.
If I’m not wrong, you might have thought about this path, which seems the shortest among all, right? If it is right then you’ve just tried to be greedy.
In this way, we as a human, decide which case/path is best for us. Now let's think from an computer's perspective. I think you all have played Counter Strike! Have you ever wondered how an enemy agent finds the location of the player in the Game World?
This is where Algorithms comes into play. In games, best-first search may be used as a path-finding algorithm for game characters.
Greedy best-first search tries to expand the node that is closest to the goal, on the grounds that it is likely to lead to a solution quickly. Thus, it evaluates nodes by using just the heuristic function; that is, f(n)=h(n).
Let us see how this works for the route-finding problems. Here we use the straight-line distance heuristic, which we will call hSLD. If the goal node is I, we need to know the straight-line distances to the node I, which is shown below:
The first node to be expanded from A will be B because it is closer to I than either B or C. The next node to be expanded will be F because it is closest. F, in turn, generates I, which is the goal. For this particular problem, greedy best-first search using hSLD finds a solution without ever expanding a node that is not on the solution path; hence, its search cost is minimal. This shows why the algorithm is called "Greedy" - at each step it tries to get as close to the goal as it can.
Instructions!
5
7
6
S
3
6
6
9
4
2
4
2
3
2
3
4
4
7
6
5
5
3
5
7
2
1
2
F
2
3
2
3
9
9
5
6
5


Find you Akan Name!
This is Akan names page.
They are Ghanaian traditional names which children are given their first name as a 'day name' which corresponds to the day in the week they were born.
The age of a person can be counted differently in different cultures.
Alist of akan names are listed bellow
| Day of the week | Male akan names | female akan names |
|---|---|---|
| sunday | Kwasi | Akosua |
| Monday | Kwandwo | Adwoa |
| Tuesday | Kwabena | Abenaa |
| wednesday | Kwaku | Akua |
| Thursday | Yaw | Yaa |
| Friday | Kofi | Afua |
| Saturday | Kwame | Ama |


Table of Contents
Great Representation of the Art and Use of Fencing
Plates
Sword Alone
Sword and Dagger
Sword and Cape
Sword and Dagger
Sword and Rotella
Great Representation of the Art and Use of Fencing
Plates
Sword Alone
Plate 5
Plate 6
Plate 7
Plate 8
Plate 9
Plate 10
Plate 11
Plate 12
Plate 13
Plate 14
Plate 15
Plate 16
Plate 17
Plate 18
Plate 19
Plate 20
Sword and Dagger
Plate 21
Plate 22
Plate 23
Plate 24
Plate 25
Plate 26
Plate 27
Plate 28
Plate 29
Plate 30
Plate 31
Plate 32
Plate 33
Plate 34
Plate 35
Sword and Cape
Plate 36
Plate 37
Sword and Dagger
Plate 38
Plate 39
Plate 40
Plate 41
Sword and Rotella
Plate 42
Plate 43


Loading...
icache
fs.c
id
cpu
idt
trap.c
imcrp
mp
ino
stat
inode
fs.c
input
console.c
intena
cpu
inum
inode::inum()
dirent::inum()
ioapic
ioapic.c
ioapicid
ioapicid(): mp.c
ioapicid(): mp.c
iomb
taskstate
ip
file
ismp
ismp(): mp.c
ismp(): mp.c
Searching...
No Matches


Introduction to Electron¶
What is Electron?¶
Electron is a fork of Google’s Chromium project that allows for an open source tool to create native(ish) applications. It uses the same web technologies from the Chrome browser and combines it with the diverse range of platforms Chrome is available on to create a cross-platform, easy to use development experience. It also opens up unlimited possibilities by using Node.js to provide thousands of packages with endless uses.
Why use Electron?¶
As stated previously, Electron allows for cross-platform builds and a large collection of packages. We can use it to take advantage of:
- The ability to run builds on the student’s Surface Books
- The built-in network tools to communicate easily, efficiently and quickly with the pi
- Web technologies that have been developed for online use
- NodeJS packages that allow for extended funtionality
Examples of Electron¶
Electron might be more common than you think. Don’t believe me? Check out some popular examples:
- Discord
- GitHub’s “Atom” text editor
- Skype
- GitHub’s “Desktop” Git client
- Axosoft’s “GitKraken” Git client
- Hyper Terminal
- WordPress
- Visual Studio Code
- Slack


To run commands as another user, use su -c or sudo.
whoami
su
whoami
whoami
sudo whoami
It's commonly believed that su
makes a session run as another user. In reality, it starts an entirely new shell, independent of the one currently running your script.
su; whoami
will start a root shell and wait for it to exit before running whoami
. It will not start a root shell and then proceed to run whoami
in it.
To run commands as another user, use sudo some command
or su -c 'some command'
. sudo
is preferred when available, as it doesn't require additional quoting and can be configured to run passwordless if desired.
If you're aware of the above and want to e.g. start an interactive shell for a user, feel free to ignore this message.


Username or password may be incorrect. Please try again, or Register a new account.
Login successful
Registeration successful, you can now log in.
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Mr. Darcy's Guessing Game
Description
Mr. Darcy is just a cute dumb dog, but he has a thing for guessing games and numbers. In his little bitty peanut-sized brain, he is thinking of a number. Mr. Darcy likes numbers. And rats. Tasty.
Instructions
- Your task is to guess Mr. Darcy's number.
- You can make a total of three guesses
- After each wrong guess, Mr. Darcy will give you a hint
- If you do not guess his number after three tries, Mr. Darcy will mock you.

Hints
Guesses
Score History


A new datatype, MPI_WCHAR, is added, for the purpose of dealing with international character sets such as Unicode.
MPI_WCHAR is a C type that corresponds to the type wchar_t defined in <stddef.h>. There are no predefined reduction operations for MPI_WCHAR.
Rationale.
The fact that MPI_CHAR is associated with the C datatype
char, which in turn is often used as a substitute for the ``missing''
byte datatype in C makes it most natural to define this as a new datatype
specifically for multi-byte characters.
( End of rationale.)


One of the strangest ironies in the history of entertainment is the popularity of the movie musical during the Depression era. At a time when much of America was unemployed, teetering on the edge of destitution, filmgoers flocked to see lavish fantasies about ultra-wealthy sophisticates who, when they tired of their New York penthouses, would fly off to look for love on the Riviera or to peruse the Parisian fashion houses for some new styles. With "Everyone Says I Love You," writer-director Woody Allen attempts the Herculean task of reviving this kind of escapist cinema in contemporary terms.
Allen has put his own twist on the musical genre, however, by casting actors who are not exactly renowned for their singing: Julia Roberts, Goldie Hawn, Tim Roth, etc. As these stars valiantly try to deliver such standards as "I'm Through With Love" and "Just You, Just Me," it becomes apparent Allen's stunt serves a purpose by humanizing characters who often seem closer to being stereotypes than real people. They may be living large and running wild, but at heart these are just everyday folks who can't carry a tune any better than most of us.
At the center of "Everyone" is an Upper East Side family headed up by softhearted activist Steffi (Hawn) and her second husband Bob (Alan Alda). Steffi's daughter Skylar (Drew Barrymore) is preparing for her upcoming marriage to lawyer Holden (Edward Norton), but she's also tempted by a charming ex-con (Roth). Meanwhile, Steffi's other daughter DJ (Natasha Lyonne) succumbs to passion with a gondolier while touring Venice with her dad Joe (Allen). She's not the only one swept away by the romance of the canals: Joe has become obsessed with fellow vacationer Von (Roberts) and schemes to win her over.
It's the kind of material that would have seemed effervescent 60 years ago, with RKO producing and Fred Astaire, Ginger Rogers, Edward Everett Horton and Lucille Ball starring. But in Allen's sweaty palms, "Everyone" often strains itself trying to entertain. Even when the movie hits its mark, you're usually aware of how much work it took to get there.
Allen's own performance is particularly unsteady and sometimes downright squirm-inducing. Now past 60, he continues his tradition of pursuing babes. But while his romances with Mariel Hemingway in "Manhattan" (1979) and Juliette Lewis in "Husbands and Wives" (1992) could have been dismissed as typical mid-life flings, his courtship of the sparkling Roberts invites snickers about whether he's robbing the cradle or she's robbing the grave. Allen's script actually forces Roberts at one point to describe him as "sexy and magical"; that she delivers the line without choking proves she's an underrated actress. Poor Roberts is also called upon to sing "All My Life," which proves to be a severe trial for her. On the other hand, Hawn, Alda, Norton and Roth seem to take to this kind of froth quite naturally. Norton is particularly winning as he romps through a jewelry store to the tune of "My Baby Just Cares For Me" and attempts to surprise Skylar with an engagement ring hidden inside her meal at a chic eatery.
Interestingly, considering the movie's desire to go for big effects, its best moments are its quieter ones, such as the truly hilarious resolution of the conflict between liberals Steffi and Bob and their ultraconservative son (Lukas Haas) or the genuinely sweet unresolved relationship between Joe and Steffi, which is unfortunately ignored until the last minutes of the film.
It should also be noted the movie's ridiculously harsh R-rating derives from one word, used as a joke. The rest of "Everyone Says I Love You" is every bit as wholesome and squeaky clean as any given Ruby Keeler vehicle. James Sanford
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


Promotional Video for Terra Studios
Media
With their love of design, business, and nature bringing them together, Alec, Hyeren, Stella, and Nour decided to found Terra Studio as a way to address a need they noticed with companies and brands. Combined they bring together 26 years of experience in various industries all intersecting with technology and nature. With complementary experience in design, they are a cohesive group of people with a core set of values rooted in honesty, hard work, and compassion.


Reach us by phone during business hours at:
(972)-786-1044
Email us anytime at:
<EMAIL_ADDRESS>1502 Holbrook Rd #12
San Antonio, TX 78218
| Sunday | CLOSED |
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This is an Image classifier which is based on Deep neural net
La imagen uses a convolutional neural network based architechture to claasify image.
It is developed in python.La imagen uses Karas model with a Tensorflow
backend.
La imagen predict images with 90% + accuracy
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class.
There are 50000 training images and 10000 test images.
The dataset is divided into five training batches and
one test batch, each with 10000 images.
The test batch contains exactly 1000 randomly-selected images from each class.
The training batches contain the remaining images in random order, but some training batches may contain
more images from one class than another.
Between them, the training batches contain exactly 5000 images from each class.
Here are the classes in the dataset, as well as 10 random images from each
The classes
are completely mutually exclusive.
There is no overlap between automobiles and trucks. "Automobile" includes sedans, SUVs, things of that sort. "Truck" includes only big trucks. Neither includes pickup trucks.
Upload your image for prediction. Just make sure they belong to the above classes


Johnson's Wales minister resigns on day 1 of election campaign
Prime minister's re-election campaign has got off to a shaky start.
British Prime Minister Boris Johnson's minister for Wales has resigned on the first day of the formal election campaign.

"This is a very sensitive matter, and in the light of continued speculation, I write to tender my resignation as Secretary of State," Cairns said in a letter to Johnson.
Johnson thanked Cairns.


WITNESS LIST Appropriations Committee (Subcommittee on Education) January 30, 1997-8:00A Budget Overview/Education For: Gregg, Brock (Assn of TX Prof. Educ) Hempstead, Chuck (TX Assn of Coll Teacher) Moak, Lynn (TX School Alliance) Nelson, Scott (TX Community Coll Assn) Selby, Gwen (TX School Alliance) On: Baker, William (Teacher Retiremnt Sys) Bugen, Claire (TX School for the Deaf) Casey, Daniel (TX Assn of School Bds) Coates, Stephanie (LBB) Cowan, Andrea (Comptroller) Dunlap, Charles (Teacher Retiremnt Sys) Dunn, David (LBB) Ferris, Roger (Auditor) Geisman, Cindyd (Comptroller) Hatlen, Phil (TX School for the Blind) Hazel, Terry (Auditor) Heller, Terry (LBB) Hill, Rhonda (Telecommunications Bd) Hollingsworth, Lonnie (TX Classrm Teachers Asn) Jung, Ronnie (Teacher Retiremnt Sys) Kibby, Sandy (TX PTA) Koontz, Norma (TRS) Lenz, Gene (TX Ed Agency) Littleton, Mark (SBEC) McCollough, Rhonda (TEA) Monroe, William (TEA) Montelongo, Maggie (SBEC) Mora, Linda (TEA) Moses, Mike (TEA) Neely, Joe (TEA) Nelson, Jim (SBEC) Parks, Ursula (LBB) Sallop, Marvin (TX School for the Deaf) Smisko, Ann (TEA) Smith, Carol (Auditor) Vaughan, Nancy (TEA) Viramontes, Arnold (Telecommunications Bd) Wisnoski, Joe (TX Education Agency)


FRIENDS is an american TV show which aired on NBC from September 22, 1994 to May 6, 2004, listing ten seasons. The series follow the lives of six close friends: Rachel, Monica, Pheobe, Ross, Chandler and Joey in Manhattan. This show is one of the most popular sitcoms on the NBC network.
FRIENDSThe characters:
| character | actor |
|---|---|
| Monica Geller | Cortney Cox |
| Rachel Green | Jennifer Aniston |
| Phoebe Buffay | Lisa Kudrow |
| Chandler Bing | Matthew Perry |
| Ross Geller | David Schwimmer |
| Joey Tribbiani | Matt LeBlanc |
Best episodes:


|
DEFINITIONS
|
AWAY
CORNERS - The marked
empty cells of the other player shown above. Each player has three
home corners and three away corners. |
|
GROUP - A connected set of
stones of the same color. |
|
ANCHOR -
A group is an anchor if it touches three or more sides. If a
group touches just two sides, it is an anchor only if these
sides do not meet at an Away Corner. |
|
LIFE - A stone is alive if it
belongs to an anchor. |
|
|
PIE
RULE - At first turn, one player drops one stone, and the other
chooses sides. |
|
DROP - On each turn,
each player drops a stone on an empty cell.
|
Players may pass their turn. |
|
|
GOAL
- When both players pass, the game is over. Then:
|
Remove all dead stones (i.e., stones
which are not alive), and deliver them to the opposite color
players (i.e., dead black stones are given to White, and vice
versa), these are called the prisoners. |
|
Each player counts the number of
prisoners plus the number of cells which are surrounded by his stones
(and the edges, same as in Go). |
|
Wins the player with the greatest
number. |
|
|


This API can be used to gather read-only information about an NSG, including information on its state, system metrics, alarm counts, location and version. It is a single view of the full data available for an NSG.
| controllervrslinks |
| nsginfo |
| nsgstate |
| nsgsummary |
| vrsinfo |
| vscs |
This object has no children.
This object has no members.
List of Controller-VRS links associated with the nsg
SDK attribute: controllervrslinks
An embedded object from the nsinfo entity from VSD. Contains info such as software version, CPU type, BIOS version etc. The embedded object is returned in JSON format
SDK attribute: nsginfo
Information from the NSGState object in VSD in JSON format. Contains information about connection status, TPM status, operation mode etc.
SDK attribute: nsgstate
NSG summary in JSON format - contains alarm counts, locality, bootstrap info etc.
SDK attribute: nsgsummary
information about VRS reported from sysmon in JSON format. Has info about cpu usage, memory usage, physical interfaces etc.
SDK attribute: vrsinfo
List of controllers associated with the nsg
SDK attribute: vscs


|
Drake
|
The JointActuator class is mostly a simple bookkeeping structure to represent an actuator acting on a given Joint.
It helps to flag whether a given Joint is actuated or not so that MultibodyTree clients can apply forces on actuated joints through their actuators, see AddInOneForce().
| T | The scalar type, which must be one of the default scalars. |
#include <drake/multibody/tree/multibody_tree.h>
Public Member Functions | |
| JointActuator (const std::string &name, const Joint< T > &joint, double effort_limit=std::numeric_limits< double >::infinity()) | |
Creates an actuator for joint with the given name . More... | |
| const std::string & | name () const |
| Returns the name of the actuator. More... | |
| const Joint< T > & | joint () const |
| Returns a reference to the joint actuated by this JointActuator. More... | |
| void | AddInOneForce (const systems::Context< T > &context, int joint_dof, const T &tau, MultibodyForces< T > *forces) const |
Adds into forces a force along one of the degrees of freedom of the Joint actuated by this actuator. More... | |
| const Eigen::Ref< const VectorX< T > > | get_actuation_vector (const VectorX< T > &u) const |
Gets the actuation values for this actuator from the actuation vector u for the entire model. More... | |
| void | set_actuation_vector (const Eigen::Ref< const VectorX< T >> &u_instance, EigenPtr< VectorX< T >> u) const |
Given the actuation values u_instance for this actuator, this method sets the actuation vector u for the entire MultibodyTree model to which this actuator belongs to. More... | |
| double | effort_limit () const |
| Returns the actuator effort limit. More... | |
Does not allow copy, move, or assignment | |
| JointActuator (const JointActuator &)=delete | |
| JointActuator & | operator= (const JointActuator &)=delete |
| JointActuator (JointActuator &&)=delete | |
| JointActuator & | operator= (JointActuator &&)=delete |
| Public Member Functions inherited from MultibodyElement< JointActuator, T, JointActuatorIndex > | |
| virtual | ~MultibodyElement () |
| JointActuatorIndex | index () const |
| Returns this element's unique index. More... | |
| ModelInstanceIndex | model_instance () const |
| Returns the ModelInstanceIndex of the model instance to which this element belongs. More... | |
| const MultibodyPlantDeferred & | GetParentPlant () const |
| Returns the MultibodyPlant that owns this MultibodyElement. More... | |
| MultibodyElement (const MultibodyElement &)=delete | |
| MultibodyElement (MultibodyElement &&)=delete | |
| MultibodyElement & | operator= (const MultibodyElement &)=delete |
| MultibodyElement & | operator= (MultibodyElement &&)=delete |
Friends | |
| template<typename U > | |
| class | JointActuator |
Additional Inherited Members | |
| Protected Member Functions inherited from MultibodyElement< JointActuator, T, JointActuatorIndex > | |
| MultibodyElement () | |
| Default constructor made protected so that sub-classes can still declare their default constructors if they need to. More... | |
| MultibodyElement (ModelInstanceIndex model_instance) | |
| Constructor which allows specifying a model instance. More... | |
| const internal::MultibodyTree< T > & | get_parent_tree () const |
| Returns a constant reference to the parent MultibodyTree that owns this element. More... | |
| void | SetTopology (const internal::MultibodyTreeTopology &tree) |
| Gives MultibodyElement-derived objects the opportunity to retrieve their topology after MultibodyTree::Finalize() is invoked. More... | |
|
delete |
|
delete |
| JointActuator | ( | const std::string & | name, |
| const Joint< T > & | joint, | ||
| double | effort_limit = std::numeric_limits< double >::infinity() |
||
| ) |
Creates an actuator for joint
with the given name
.
The name must be unique within the given multibody model. This is enforced by MultibodyPlant::AddJointActuator().
| [in] | name | A string with a name identifying this actuator. |
| [in] | joint | The joint that the created actuator will act on. |
| [in] | effort_limit | The maximum effort for the actuator. It must be strictly positive, otherwise an std::exception is thrown. If +∞, the actuator has no limit, which is the default. The effort limit has physical units in accordance to the joint type it actuates. For instance, it will have units of N⋅m (torque) for revolute joints while it will have units of N (force) for prismatic joints. |
| void AddInOneForce | ( | const systems::Context< T > & | context, |
| int | joint_dof, | ||
| const T & | tau, | ||
| MultibodyForces< T > * | forces | ||
| ) | const |
Adds into forces
a force along one of the degrees of freedom of the Joint actuated by this
actuator.
The meaning for this degree of freedom, sign conventions and even its dimensional units depend on the specific joint sub-class being actuated. For a RevoluteJoint for instance, joint_dof
can only be 0 since revolute joints's motion subspace only has one degree of freedom, while the units of tau
are those of torque (N⋅m in the MKS system of units). For multi-dof joints please refer to the documentation provided by specific joint sub-classes regarding the meaning of joint_dof
.
| [in] | context | The context storing the state and parameters for the model to which this joint belongs. |
| [in] | joint_dof | Index specifying one of the degrees of freedom for this joint. The index must be in the range 0 <= joint_dof < num_velocities() or otherwise this method will throw an exception. |
| [in] | joint_tau | Generalized force corresponding to the degree of freedom indicated by joint_dof to be added into forces . Refere to the specific Joint sub-class documentation for details on the meaning and units for this degree of freedom. |
| [out] | forces | On return, this method will add force tau for the degree of freedom joint_dof into the output forces . This method aborts if forces is nullptr or if forces doest not have the right sizes to accommodate a set of forces for the model to which this actuator belongs. |
| double effort_limit | ( | ) | const |
Returns the actuator effort limit.
Gets the actuation values for this
actuator from the actuation vector u for the entire model.
| const Joint<T>& joint | ( | ) | const |
Returns a reference to the joint actuated by this JointActuator.
| const std::string& name | ( | ) | const |
Returns the name of the actuator.
|
delete |
|
delete |
| void set_actuation_vector | ( | const Eigen::Ref< const VectorX< T >> & | u_instance, |
| EigenPtr< VectorX< T >> | u | ||
| ) | const |
Given the actuation values u_instance for this
actuator, this method sets the actuation vector u for the entire MultibodyTree model to which this actuator belongs to.
| [in] | u_instance | Actuation values for this actuator. It must be of size equal to the number of degrees of freedom of the actuated Joint, see Joint::num_velocities(). For units and sign conventions refer to the specific Joint sub-class documentation. |
| [out] | u | The vector containing the actuation values for the entire MultibodyTree model to which this actuator belongs to. |
| std::exception | if u_instance.size() != this->joint().num_velocities() . |
| std::exception | if u is nullptr. |
| std::exception | if u.size() != this->get_parent_tree().num_actuated_dofs() . |
|
friend |


This page shows dynamically generated graphical representation of the pseudo-random number generator in your browser.
Math.random is the default generator built into all browsers that was not designed with cryptography in mind. SJCL is a JavaScript cryptography library that intends to provide as much randomness as possible in local environment.
The rule of thumb is that none of the scatter plots should show any systematic patterns, the points should be pretty much evenly distributed. In histograms the height of the bars on all width should be similar, with no significant or continuous minimums or maximums.
The Math.random pictures are only provided for reference as this generator does not use this method for generating random numbers (we only use SJCL). However, chances are that if you're using relatively new browser, the output from Math.random will be quite similar to the one from SJCL as browser vendors have improved the generators a lot over time!
n=
n=
n=
n=


Requirement Skeletons and Requirement Categories
As the name indicates, the Requirement Skeleton presents something like a core of a requirement and is a central part of the schema. An example could be “Implement brute-force protection”.
As there will probably be quite a big number of requirements, it is sensible to group them into categories (e.g. Authentication, Session Management, etc.).
Optional Columns and Optional Column Values
A requirement can come with many extra information which you might not want to show in all scenarios or might not be relevant for every target. Think about examples like “Best practise for implementation of this requirement”, “Motivation why this requirement is important” or “How to test a successful implementation of the requirement”. These would be the Optional Columns.
Every Optional Column contains Optional Column Values which are linked to a particular Requirement Skeleton.
Example could be:
- Optional Column: Motivation
- Optional Column content for Brute Force Protection: If you omit brute force protection, attacker could use a script guessing passwords of the system users in order to take over their identities.
Status Columns and Status Column Values
While working with you first requirement set, you will probably find out that on an artifact level, it will be handy to specify some extra information for every requirement, even if it is just an indication whether the requirement will be fulfilled or not in the easiest case.
Status Columns are of two types:
- eval: In this case, this Status Column is linked to Status Column Values. An example could be the Status Column “Implemented” and respective values “Yes” and “No”.
- text: Free text, e.g comment explaining the implementation of the requirement
Implementation Type
Implementation type enables you to specify:
- which requirement skeletons are relevant for this implementation type
- which optional and status column are relevant
In the default requiremment set, there are three implementation types:
- internal: when the artifact is developed and operated internally
- exernal: when the artifact is developed by an external company, but still operated internally
- cloud: when the artifact is both developed and operated externally
It contains the following attributes:
| Name | Explanation | Example |
|---|---|---|
| Short Name | Short ID of the requirement. | AU-01 (for the first requirement belonging to the Authentication category |
| Description | Universally valid text of the requirement. | The system has to be protected against brute-force attacks. |
Collection Category and Collection Instance
Collection Category is a security relevant parameter which has an impact on which requirement skeletons are relevant. Collection Instance is then a particular value of this parameter. These are the options which you specify in the very beginning when working with SecurityRAT in order to render a relevant set of requirements.
The following table shows some examples from the default requirement set:
| Collection Category | Collection Instances |
|---|---|
| Criticality | Low, Medium, High |
| Externally Reachable | Yes, No |
| Authentication | Single Sign-On Client, Local, None |
Tag Category and Tag Instance
Tag Category and Tag Instance work in a similar way as Collections. The biggest difference is that Tags are never persisted; they are used for filtering requirements in specific situation, e.g. you want to have an overview of which requirements are relevant for a particular project phase, which are supposed to be tested manually etc.
The following table shows some examples from the default requirement set:
| Tag Category | Tag Instances |
|---|---|
| Requirement Type | Technical, Lifecycle |
| Project Phase | Initiation, Design, Implementation, Rollout |
Alternative Sets and Alternative Instances
Alternative Sets are bound to Option Columns and are supposed to enhance their content for particulalar requirements using Alternative Instances in specific situation. Think about an option column “Further specification” - if you’re developing the application in a certain language, e.g. JAVA it could be reasonable to show a coding pattern or information which library you should be using.
In this way, you have the option to say: “Ok, give me all extra information you have for if I’m developing in JAVA, PHP, …”
Alternative Sets and Instances are not currently used in the default requirement set.


Suppose Phil makes 1 small and 1 large boomerangs.
Carving 1 small boomerangs will take 2 hours.
Carving 1 large boomerangs will take 3 hours.
Phil will need 5 hours to carve them all.
Cath has to decorate 2 boomerangs.
1 small boomerangs will make $8.
1 large boomerangs will make $10.
Total amount made will be $18


Ripple (XRP) Price Dives To $0.20, Recovery Presents Sell Opportunity
- Ripple price is down close to 10% and it even traded close to the $0.2000 support against the US dollar.
- The price is currently correcting higher, but it is likely to struggle near $0.2180 and $0.2250.
- There is a key bearish trend line forming with resistance near $0.2250 on the hourly chart of the XRP/USD pair (data source from Kraken).
- The price is likely to resume its decline if it fails to recover above the $0.2250 resistance.
Ripple price is under a lot of pressure against the US Dollar, similar to bitcoin and Ethereum. XRP price remains sell on rallies unless there is a daily close above $0.2350.
Ripple Price Analysis
In the past few sessions, there was a nasty drop in ripple below the $0.2350 and $0.2250 support levels against the US Dollar. Moreover, XRP/USD declined more than 10% and recently tested the main $0.2000 support level.
Finally, a new multi-month low was formed near $0.2003 and the price settled well below the 100 hourly simple moving average. It is currently correcting higher above the $0.2050 and $0.2080 resistance levels.
Besides, the price traded above the 23.6% Fib retracement level of the recent decline from the $0.2349 high to $0.2003 low. However, there are many resistances on the upside, starting with the $0.2180 level.
The 50% Fib retracement level of the recent decline from the $0.2349 high to $0.2003 low is also near the $0.2180 level to act as a resistance. Additionally, there is a key bearish trend line forming with resistance near $0.2250 on the hourly chart of the XRP/USD pair.
Above the trend line resistance, ripple price might attempt a decent recovery. The next key resistance is near the $0.2350 level and the 100 hourly simple moving average.
Therefore, the price must settle above the $0.2350 resistance and the 100 hourly simple moving average to move into a positive zone. Conversely, the price might struggle to climb above $0.2250 and it could resume its decline.
An initial support on the downside is near the $0.2050 level. The main support is near the $0.2000 level, below which there is a risk of a drop towards the $0.1950 support area.
Looking at the chart, ripple price is currently correcting higher, but it is approaching a couple of important resistances near the $0.2180 and $0.2250 level, where sellers are likely to emerge again.
Technical Indicators
Hourly MACD – The MACD for XRP/USD is still placed heavily in the bearish zone.
Hourly RSI (Relative Strength Index) – The RSI for XRP/USD is currently well near the oversold levels.
Major Support Levels – $0.2050, $0.2020 and $0.2000.
Major Resistance Levels – $0.2150, $0.2180 and $0.2250.


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{{ partial "personnage/list.html" (dict "chars" $main_characters "sep" " . ")}}
{{ .Content }}
{{ define "main" }} {{ $characters := where (.Site.RegularPages.RelatedIndices . "novel") "Type" "personnage" }} {{ $main_characters := where $characters "Params.main" 1 }} {{ partial "single/header.html" . }}


To be a successful IT professional working in repute organization, in an advanced technology like Machine Learning, Artificial Neural Networks, Big Data and Data Analytics. Also, would like to enhance & utilize my technical skills through innovative and research-oriented projects.


Employee List
Demo Content:
1. Normal:
2. Popup up after inputting 2 characters:
3. Popup up after elapsing 500ms:
4. Input with department name :
5. Search field can be specified dynamically according to the first character, if it is number, use "code" field to search data, otherwise use "name" field;


Tell your non-tech friend a story about a time you:
Got blocked on a simple problem
Solved a problem in an elegant way
In both cases: What was the problem?
What problem solving techniques did you use?
How did you feel throughout the process?
What did you learn?
1. In the most recent challenge of this assignment (assignment 5), where I needed to enable a counter that was activated when certain conditions were met, I was struggling to write the code successfully.
There wasn't anything obviously wrong, so I went through the code separately, I suppose the technique would be trying something, as in trying the code without certain parts to see if it would work correctly. This helped to highlight
which section wasn't corect. It was frustrating at first, but I felt better once the issue was localised to one line. It ended up being an additonal bracket that caused the issue. I learned from this that doing small checks for syntax, can be
faster and help in the long run visually, if when looking at a problem i can identify it easier, then going through and making any changes.
2. Another recent problem I had, was adding a hover action change to the main blog icons on my blog site. When a user hovers over the blog posts, the posts turn a shade darker.
The problem I found was that i couldn't link the action to the circle blog icons to make them work. To solve the problem, I googled some tutorials on how to achieve this, and found it was a lot simpler then I thought.
It was easier for me to understand the issue and correct the code I had written, once I had watched the explanantions in the tutorials. I learnt that some tasks I find learn easier through watching, then through reading an example.
Reflect on how confident you feel using the problem solving techniques and process:
Pseudocode
I've found pseudocode to be a useful problem solving technique, and although I still find I make mistakes using this method, practice make perfect, and I believe the more I use this technique, the better it wil work for me.
Trying something
I often try something different to see which part of the code is working and which isn't, so this would be a confident problem solving method for me.
Rubber ducky method
I haven't used this method much, other than in our previous technical blogs, but I think it could be useful in future, and is one I'd like to practice more.
Reading error messages
I am less confident reading error messages to solve problems, simply because of my lack of experience with error messages. I think in future, with more repetition and familiarity with error messages, this will be a good way to problem solve for me.
Console.logging
I would use console logging as a process to problem solve if consle logging is already in the code I'm building, otherwise, I might be less confident using this as a problem solving method
Googling
This is the most commo problem solving technique I've used, although It may be one of the ones I am least confident with. I believe thi is becasue I am still becoming familiar with the terminology used, and once this is more second nature, it will be easier to use a googling technique.
Asking your peers for help
I always try to problem solve myself before I ask for help, and using some of the other tools in this list has worked for me so far. I know that in an environment where I was working with others in person, I would be more confident to ask others for help.
Asking coaches for help
I feel confident asking coahes for help, but only in cases where I had exhausted all of my other options. There are a lot of resources to help at phase-0, so I'm confident I could help myself and learn better this way.
Improving your process with reflection
I'm not as confident with this process, as I often feel that there is always room for improvement, so always feel I could do more, and so reflecting can be never be clear on what I could do better or have done well. Pausing to reflect is something I find difficult, but I'm focusing on this more, and hope to improve the value from my reflecting over time.


{%extends 'base.html'%} {%block content%}
{{business.name}}
{{business.email}}
{{business.description}}


Trees play a crucial role supporting life across the globe, producing oxygen and absorbing climate change-causing carbon dioxide. But, despite the plant's importance, humans have had little idea how many trees actually live on planet Earth.
Now, new research published in the journal Nature suggests the world is home to more than 3 trillion trees. Humans throughout history have played a key role in determining the number of living trees, researchers note. People cut down 15 billion trees each year and the global tree count has fallen by 46% since the beginning of human civilization.


Awesome Shiny apps currently hosted on this server
- Lights Out game - Lights Out is a fun brain-teasing puzzle game. I wrote an R implementation of the game in the package lightsout, and you can play the R (Shiny) version of the game here.
- shinyjs demo - shinyjs is an R package I built that makes it easy to perform common JavaScript operations in Shiny apps. This demo allows you to experiment with different shinyjs functions.
- ggExtra::ggMarginal() demo - a demo of how my package ggExtra can be used to add marginal plots to ggplot2.
- colourInput demo - a demo of using the colourInput input control (available from shinyjs) in Shiny apps to allow users to select colours.
- Persistent data storage with Shiny - supplement to my blog post that shows how to store and retrieve data in Shiny apps .
- Mimicking a Google Form with a Shiny app - supplement to my blog post that shows how to create forms and save/load submissions with shiny.
- Impact Replays - an app I wrote that won third place nationally at a CFL (Canadian Football) hackathon. The app allows you to relive the exciting moments of any CFL game.
- Cancer data - interactively explore data about cancer incidences/deaths in the US
- Analyzing R-Bloggers' posts via Twitter - supplement to my blog post that explores the success of all Rbloggers posts on Twitter.
- BC Liquor Store prices - Simple app that is built as part of a Shiny tutorial I've written. The app lets you find what to get from the liquor store based on filters you choose.
Other Shiny apps that exist here
- shinyjs basic app - a very basic Shiny app showing how shinyjs functions can be used together in a simply app.
- Basic info form - a simple form that we used in a course to collect some basic information about students (example of how to use forms to collect data from a shiny app).
- Peer review form - a marking sheet that we used in a course for students to peer-review other students' assignments (example of how to use forms to collect data from a shiny app).
- Loading screen demo - an example of how to implement a simple loading screen in a Shiny app.
If you want to host a Shiny Server and/or RStudio Server yourself, here is a very well-received tutorial I've written on doing that.
The code for this Shiny Server, including all the apps inside, is available on GitHub.
< Back to main site
admin


Model-based clustering for phylogeographic data comprising mtDNA sequences and geographical locations along with optional environmental characteristics, aiming to identify migration events that led to homogeneous population clusters.
| Version: | 1.3.0 |
| Imports: | ggplot2, igraph, mvtnorm, maptools, sp, phytools, fields, coda, methods, OpenStreetMap, ggmap, ape |
| Published: | 2018-08-29 |
| Author: | Ioanna Manolopoulou, Axel Hille |
| Maintainer: | Ioanna Manolopoulou <ioanna.manolopoulou at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | BPEC results |
| Reference manual: | BPEC.pdf |
| Package source: | BPEC_1.3.0.tar.gz |
| Windows binaries: | r-devel: BPEC_1.3.0.zip, r-release: BPEC_1.3.0.zip, r-oldrel: BPEC_1.3.0.zip |
| OS X binaries: | r-release: BPEC_1.3.0.tgz, r-oldrel: BPEC_1.3.0.tgz |
| Old sources: | BPEC archive |
Please use the canonical form https://CRAN.R-project.org/package=BPEC to link to this page.


@(firstName: String, lastName: String) @import helper._ @main(Messages("global.welcomeToThe") + " " + Messages("global.appName") + " " + Messages("global.exampleapp")) {
@firstName,
Thank you for contacting us. One of our team members will contact you shortly.
Best regards,
The @Messages("global.appName") team


Enter Data for a new College!
Name of College or University:
College Website:
SAT Average Math SAT Average Reading
ACT Composite Average
Admission rate (%) Average GPA (4.0 Max)


Open the network tab in your browser's dev tools to see the network requests generated. You will also be able to see the script elements added to the DOM


BS6 cars now make up 70 percent of Maruti's monthly sales
by Staff WriterThe carmaker is working towards 100 percent sales from BS6 models within three months says CV Raman, senior executive director, Maruti Suzuki.
Maruti Suzuki has taken an early lead when it comes to sales of BS6 cars. In conversation with Autocar India, CV Raman, senior executive director, Maruti Suzuki, disclosed that the share of BS6 cars in the carmaker’s monthly sales has crossed “over 70 percent”. In October 2019, the carmaker sold a total of 1,39,121 passenger vehicles. Maruti was the first of India’s mass-market manufacturers to launch a BS6-compliant model – the BS6 Baleno petrol that was launched on April 22, 2019, nearly a year before the emission norms take effect. In the months since, Maruti has launched seven more BS6-compliant petrol models, namely the Alto, Swift, Wagon R (1.2), Dzire, Ertiga, XL6 and S-Presso.
The models yet to be upgraded to BS6 spec include the Alto K10, Wagon R (1.0), Ignis, Celerio and Eeco. As is widely known, Maruti will withdraw its diesel engines before April 2020, with the 1.3-litre diesels on the Vitara Brezza and S-Cross set to make way for BS6-compliant 1.5-litre petrol units. CV Raman hinted that Maruti is working for sales to come entirely from BS6 models “in the next three months”.
At the beginning of October, Maruti Suzuki announced that it had already sold over two lakh BS6-compliant vehicles in six months – that’s a little more than 30 percent of Maruti’s cumulative sales in the April-September 2019 period.
| Timeline For BS6 Roll-Out In 2019 | ||
| Model | Month | Engine |
| Baleno | April | K12B, K12C |
| Alto | April | F8D |
| Swift | June | K12B |
| Wagon R 1.2 | June | K12B |
| Dzire | June | K12B |
| Ertiga | July | K15B |
| XL6 | August | K15B |
| S-Presso | September | K10B |
Delving on the challenge of transitioning the entire range to BS6 spec, CV Raman said, “As you know, enhanced safety requirement had already kicked in from 2017 and we got a very short window of three years for upgrading all vehicles to BS6. For us, it was a question of how do we ensure that these two regulations are put in as part of our product development cycle or product roadmap and see that we can meet those regulations. When we worked backwards, we realised we had 50 engine-gearbox combos to upgrade, accounting for petrols, diesels, CNG, manual and autos. And since the date of sale is April 1, 2020, we needed to ensure our inventory of BS4 cars is also depleted.” He also added that “It was very important for us that the entire ecosystem of Maruti should be able to make this change and not have obsolescence or have a fire sale at the end of the day.”
At the dealer level, both Arena and Nexa outlets are currently offering significant discounts and benefits on nearly all Maruti cars and SUVs, in a bid to sell off old inventory and make space for the new BS6 models. The Baleno RS, which is the only model in the Maruti stable to be powered by the brand’s 102hp, 1.0-litre Boosterjet turbo-petrol engine, has been available with rather significant benefits. Maruti’s diesel range, in particular, is also now available with large benefits, including Maruti’s free five-year/1,00,000km extended warranty.
However, Maruti is bullish on the upcoming Vitara Brezza petrol and expects the model to replace diesel volumes 1:1.
Also see:
Up to Rs 1 lakh off on Maruti Suzuki Ciaz, Baleno, S-Cross, Ignis
Up to Rs 60,000 off on BS6-compliant Maruti Suzuki Arena cars
Hatchbacks aren’t a dying breed: Maruti Suzuki ED, Shashank Srivastava


The below are the my favorite places to visit;
The activities involved are;
Activity involved is hiking the Mountain.
Activities done are ;


{% extends 'base.html' %} {# Prevent the helper panel from appearing by overriding it. #} {% block helperPanelContainer %}{% endblock helperPanelContainer %} {% block mainContent %}
This privacy policy was last modified on April 27, 2015.
This page informs you of our policies regarding the collection, use and disclosure of personal information we receive from users of beautiful audio editor.
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Raja Umer Saghir
Engineer, Software Developer
Work Experience
Project Engineer
PaperTale AB & Outso AB, Sweden
August 2017 - Oct 2019
Education
System Development Java
Feb 2020 - May 2020
Software Development Academy
Royal Institute of Technology (KTH) & Novare Potential
Lund, Sweden
Full Stack Web-development
Dec 2018 - May 2019
Foo Cafe Malmo
Malmo, Sweden
MSC Electrical Engineering
Radio Communication
Blekinge Institute of Technology, 2010 - 2013
Kalskrona, Sweden


Alternatively, a potential path hijack with apt or apt-get
First determine where is apt-get by using 'whereis apt-get' or 'which apt-get';
I will assume it's in /usr/bin/apt-get
Then create a file in /usr/local/bin/apt-get with this content:
#!/bin/bash
# (commands to run before apt-get)
/usr/bin/apt-get "$@"
now chmod +x /usr/local/bin/apt-get.
This should survive all upgrades of the distribution but it should not change the behavior of apt-get (aside from running the command before doing anything else). As bonus, it could parse the command line arguments to only run the command when it is truly needed.


The game of paths... on a ChromeCast!
Select a color, then pick various paths to transit the board. Try to pick paths that lead to your opponents falling off, but be careful to not destroy yourself!
Get Started


Microsoft Authorization Demo got code successful.But don't close the application until you see the result.


Select all that apply?
Select one that appies?
Beats
Motörheadphones
Skull Candy
Computer
Portable
Stereo
Nobody gives a damn about anybody else, Think everyone should feel the way they fell themselves, Rich men think that happiness is a million dollar bills, So how come most of them O. D. on sleeping pills...


In web development there is a concept called the Box Model, which is comprised of 4 properties:
- Content: this is where the text/images are. The dimensions can be changed using the height and width properties
- Padding: the transparent space around the content, which can be changed using the padding property
- Border: this goes around the padding and acts like a frame. The thickness can be changed using the border-width property
- Margin: the transparent space around the border. The size of this space can be changed using the margin property
An analogy I like to use is that of someone driving:
- The driver is the content, situated at the center
- The car interior is the padding, which cushions the driver
- The car exterior is the border, which is a barrier protecting the driver and engine
- The space around the car is the margin, which is the safe distance between the car and any external hazards


VIDEO: ‘I’m Only Interested In Footballers Who Play For Big Teams Because Of Their Money’- Fantana
by Ghbase New WriterFantana has carefully learnt that controversies bolster the brands of celebs in our industry and this is something we think she got from Bullet.
The kind of utterances she makes and other subtle gimmicks she tosses in our face make us know she’s really positioning herself to trend.
In a fresh interview with blogger Eugene Osafo Nkansah of Nkonkonsa news blog, Fantana stated that she’s only interested in footballers so she can squander their money.
And by the way- not just any footballer but those who play for BIG teams like Arsenal, Real Madrid, Barcelona and the other famous clubs scattered across Europe.
When Eugene asked her if money is all that matters to her and not love, the Rufftown signee said she’s definitely into the ‘kwacha’ than love.
Her new stance is a bit surprising though as she recently professed her love for music producer cum artist, Danny Beatz of ‘Medekuku’ fame.
Watch the interesting interview below:


Privacy Policy for the V-FOR-WaTer Service
The virual research environment V-FOR-WaTer can be accessed via the portal: {{ VFW_SERVER }}.
1. Personal Data
If you use the service of V-FOR-WaTer, we will process your personal data. According to Art. 4 No. 1 of the EU General Data Protection Regulation (GDPR), personal data are all data relating to an identified or identifiable natural person.
2. Controller
Controller of the data processing on this website according to Art. 4, par. 7 GDPR as well as other data protection regulations:
- Karlsruhe Institute of Technology (KIT)
- Kaiserstraße 12
- 76131 Karlsruhe
- Germany
- Phone: +49 721 608-0
- Fax: +49<PHONE_NUMBER>0
-
E-mail<EMAIL_ADDRESS>The Karlsruhe Institute of Technology is a corporation governed by public law, represented by its president Prof. Dr.-Ing. Holger Hanselka.
Our Data Protection Officer can be contacted at
<EMAIL_ADDRESS>or by ordinary mail with “Die Datenschutzbeauftragte” (the data protection officer) being indicated on the envelope.
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When you login to the service, we collect the following personal data from your remote identity provider (Helmholtz Authentication and Authorisation Infrastructure):
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In addition the service automatically collects the following log information, for example: IP address, computer type, screen resolution, OS version, domain name, location, date and time of the visit, page(s) visited, time spent on a page. Some of this information is provided directly by the user's browser, the remainder is obtained through cookies and tracking technologies.
In case you upload data the association between you and your datasets is stored.
The personal data retrieved from the external identity provider is necessary to map you to the V-FOR-WaTer account, contact you and provide a comfortable interface. Your name and email address is only visibe to the V-FOR-WaTer team in order to process your requests.
When you log in to the service we store a cookie on your device. Cookies are small text files stored in your computer system by the browser used by you, through which we (the server of our website) obtain certain information. Cookies cannot execute any programs or transmit viruses to your computer. They serve to make internet offers more user-friendly, more effective, and quicker. It is distinguished between session cookies (transient cookies) and permanent (persistent) cookies.
Transient cookies are deleted automatically when you close the browser. They include in particular the session cookies. These store a so-called session ID, through which queries of your browser can be allocated to the joint session. They allow us to identify your computer when you return to our website. Session cookies are deleted when you log out or close the browser.
We use session cookies exclusively. We do not use any persistent cookies or flash cookies.
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The legal basis for the processing is Art. 6, par. 1, clause 1, (b), clause 3, (b) GDPR in conjunction with Section 4 Landesdatenschutzgesetz Baden-Württemberg (State data protection act of the state of Baden-Württemberg).
The legal basis for the information you provide voluntarily is your consent in accordance with Art. 6, par. 1, clause 1, (a) GDPR. The consent is voluntary. There are no disadvantages if it is denied or withdrawn.
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Your personal data will be stored at the Data Controller's site for as long as necessary to provide the service and there are statutory storage requirements. After expiry of the statutory retention periods your data will be deleted unless you have expressly consented to any further use of the data. In general, the data is deleted after one month.
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The website of V-FOR-WaTer contains a web application to submit scientific datasets to be stored in the V-FOR-WaTer database. During upload of datasets, the personal data transmitted by the data uploader are automatically stored. Such personal data are stored for the purpose of processing or contacting the data owner.
To successfully submit scientific datasets to V-FOR-WaTer, the data uploader has to provide some additional personal data (e.g., name of authors and co-authors) to allow correct citation of those datasets in the scientific community. This information will be made available to the public after the submission process through dataset metadata (in XML or JSON format and via the V-FOR-WaTer website). This is a requirement of scientific publishing. Scientific data publications including the aforementioned personal data may be consumed by third parties (e.g., libraries, data portals) using V-FOR-WaTer's metadata and data services.
By submitting scientific data to V-FOR-WaTer, the data uploader agrees with publishing those datasets in the public interest, for scientific or historical research purposes or for statistical purposes according to Art. 9(2) lit. j GDPR and Art. 89 GDPR.
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Personal data can be accessed and reviewed in your account settings. To rectify the data released by V-FOR-WaTer, please update them at V-FOR-WaTer portal.
To request an account deletion, please contact the V-FOR-WaTer Team under
<EMAIL_ADDRESS>and provide your email address and your full name.
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In Addition you have the following rights:
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In the case of manifestly unfounded or excessive requests, we can charge a reasonable fee. Otherwise, information will be provided free of charge (Art. 12, par. 5 GDPR).
In the case of reasonable doubts concerning the identity of the natural person asserting the above rights, we may request the provision of additional information necessary to confirm the identity of the data subject (Art. 12, par. 6 GDPR).